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Blogs
Work in Progress
These posts are still being written. Content may change.
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LLMs for Sequential Decision Making WIP
How Large Language Models are being used to reason, plan, and act over time in sequential decision-making tasks.
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Building a Local Voice Assistant for Edge Devices WIP
A fully local voice assistant architecture running on CPU-only edge devices with VAD, STT, LLM routing, and TTS.
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Classifier-Free Guidance WIP
An overview of classifier-free guidance for generative models.
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Scaling Recipes for Training Large Neural Networks WIP
An overview of scaling recipes and best practices for training large neural networks efficiently.
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Understanding Flow Matching for Generative Models WIP
A deep dive into flow matching, a simpler alternative to diffusion models for learning continuous normalizing flows.
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Langevin Dynamics for Sampling WIP
How Langevin dynamics can be used to sample from complex distributions, and the relationship between step size and effective temperature.